Hand parts result on InterHand26M

I tested the hand part of Hand4Whole and the result is MPJPE: 63.86 mm, is it reasonable? Did you test the model in terms of MPJPE on InterHand26M and may I know your result? Thank you!

For the hand-only images, you should use Pose2Pose (https://github.com/mks0601/Hand4Whole_RELEASE/tree/Pose2Pose)

Yes I am using the pose2pose

mpjpe 63 is not a making sense number. it's too big. I guess there should be some bugs? How did you evaluate on ih2.6m dataset?

InterHand26M.py.txt
model.py.txt
I using the same code as that in the repository, my trained weights perform normally on other datasets like FreiHAND, COCO

joint_gt includes both right/left hands, while the output only includes the right hand.

Thank you! I flip back the left hands and MPJPE now is 18.21mm

Please note that for the fair comparison to previous works, you should train the network again after removing this view sampling.

Hand4Whole_RELEASE/data/InterHand26M/InterHand26M.py

Line 56 in 39fd372

# too many views :( camera filtering in the training stage

Thank you!

Hi, I want to download the Human36M dataset you shared, but the google drive said it exceeds the download quota.
"此文件已超出下载配额，因此目前无法下载"： this file have exceeded download quota, thus cannot be downloaded now.

Try this at below

https://github.com/mks0601/I2L-MeshNet_RELEASE#data

Try this at below

https://github.com/mks0601/I2L-MeshNet_RELEASE#data

It seems that this is the one I use, I cannot download it either

Try a trick written below

Thank you every much!